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Mid-tier global employer and metro hiring create moderate competition for senior, specialized ML roles.
ML and MLOps skills transfer across industries, yielding moderate background sensitivity.
Requires advanced degree, production ML experience, cloud and leadership skills, making filtering stringent.
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Lead design, analysis, implementation, and integration of AI model serving solutions with focus on performance, reliability, and cost optimization.
Lead and standardize AI serving architectures including safe rollout and rollback strategies, runtime resilience, and operational readiness.
Provide technical leadership through mentoring, design/code reviews, and collaboration with cross-functional teams including MLOps, Security, and Product.
Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, or related field.
Strong experience delivering production-grade software systems with expertise in Python development.
Experience with containerized microservice architectures, API design/versioning, AWS, CI/CD pipelines, and DevOps practices.
Experience mentoring engineers and leading technical initiatives; Work Experience Required: Not explicitly mentioned in the JD.
Experienced AI engineer with strong operational focus on scalable and reliable production AI services.
Technical leader comfortable driving engineering standards and collaborating across multiple technical teams and domains.
Proficient in cloud-native engineering and AI model serving architectures, with strategic understanding of operational readiness and performance optimization.